End-to-end processing of M/EEG data with BIDS and HED in EEGLAB

Abstract Data sharing is on the rise. Community efforts to promote common data standard and public data archive projects are first steps towards the possibility of large-scale M/EEG data analysis. It is thus ever more important that the community converge on methods of data reporting and formatting practice, and on methods of sharing and documenting data processing pipelines. HED and BIDS are two community standards that enable data authors to add extensive metadata into stored and shared M/EEG datasets. The EEGLAB toolbox fully supports these standards. Here we provide practical guides on the I/O workflow between BIDS, HED, and the EEGLAB environment, showing how researchers can import BIDS-formatted, HED-annotated datasets into EEGLAB, and how EEGLAB users can export BIDS-compatible, HED-annotated datasets. We will also provide practical guides on preprocessing pipelines that can be applied across datasets, enabling analysis across as well as within archived datasets.

Outline:

• Introduction
• Data IO
  • Getting the data
    • Getting data from Openneuro/NEMAR
    • Import data to EEGLAB
      • Import BIDS dataset using the EEGLAB bids-matlab-tools plug-in
      • View HED annotation
        • Installing HEDTools
          • Method 1: EEGLAB Extension Manager:
          • Method 2: Download and unzip
        • Reviewing HED annotations via the EEGLAB HEDTools plug-in
      • View event summary
  • From EEGLAB to BIDS
    • Organize your EEGLAB datasets to STUDY
      • Creating a STUDY
      • Creating a new STUDY
      • Loading an existing STUDY
      • Editing STUDY datasets
    • Add HED annotation using HEDTools plug-in
      • Event remapping tools
      • HED Annotation quickstart
        • What is HED annotation?
        • A recipe for simple annotation
      • Add HED Annotation in EEGLAB
        • Installing HEDTools
          • Method 1: EEGLAB Extension Manager:
          • Method 2: Download and unzip
        • Annotating datasets
          • Launching EEGLAB HEDTools
          • Tagging the events
          • Validation
    • Add BIDS metadata using bids-matlab-tools plug-in and export
      • Export datasets to BIDS from the graphic interface
      • Export datasets to BIDS from the command line
    • Upload to Openneuro
• Standard preprocessing steps/pipelines using EEGLAB
  • Standard preprocessing steps/pipelines using EEGLAB
  • Think about scaling
    • Combining multiple BIDS datasets how-to
    • Compare data across datasets
• Analysis
• Discussion and conclusions